Peter Kresten Nielsen

Disulfide Linkage Characterization of Disulfide Bond-Containing Proteins and Peptides by Reducing Electrochemistry and Mass Spectrometry

Unravelling of disulfide linkage patterns is a crucial part of protein characterization, whether it is for a previously uncharacterized protein in basic research or a recombinant pharmaceutical protein. In the biopharmaceutical industry, elucidation of the cysteine connectivities is a necessity to avoid disulfide scrambled and incorrectly folded forms in the final product. Mass spectrometry (MS) is a highly utilized analytical tool for this due to fast and accurate characterization. However, disulfide bonds being an additional covalent bond in the protein structure represent a challenge in protein sequencing by tandem MS (MS/MS). Electrochemical (EC) reduction of disulfide bonds has recently been demonstrated to provide efficient reduction efficiencies, significantly enhancing sequence coverages in online coupling with MS characterization. In this study, the potential use of EC disulfide reduction in combination with MS characterization for disulfide mapping was assessed. We employed two approaches based on (1) the high flexibility and instant information about the degree of reduction in infusion EC-MS to generate partially reduced species on the intact protein level and (2) the preserved link between parent disulfide-linked fragments and free reduced peptides in an LC-EC-MS platform of nonreduced proteolytic protein digestions. Here we report the successful use of EC as a partial reduction approach in mapping of disulfide bonds of intact human insulin (HI) and lysozyme. In addition, we established a LC-EC-MS platform advantageous in disulfide characterization of complex and highly disulfide-bonded proteins such as human serum albumin (HSA) by online EC reduction of nonreduced proteolytic digestions.

Complete Mapping of Complex Disulfide Patterns with Closely-Spaced Cysteines by In-Source Reduction and Data-Dependent Mass Spectrometry

Mapping of disulfide bonds is an essential part of protein characterization to ensure correct cysteine pairings. For this, mass spectrometry (MS) is the most widely used technique due to fast and accurate characterization. However, MS-based disulfide mapping is challenged when multiple disulfide bonds are present in complicated patterns. This includes the presence of disulfide bonds in nested patterns and closely spaced cysteines. Unambiguous mapping of such disulfide bonds typically requires advanced MS approaches. In this study, we exploited in-source reduction (ISR) of disulfide bonds during the electrospray ionization process to facilitate disulfide bond assignments. We successfully developed a LC-ISR-MS/MS methodology to use as an online and fully automated partial reduction procedure. Postcolumn partial reduction by ISR provided fast and easy identification of peptides involved in disulfide bonding from nonreduced proteolytic digests, due to the concurrent detection of disulfide-containing peptide species and their composing free peptides. Most importantly, intermediate partially reduced species containing only a single disulfide bond were also generated, from which unambiguous assignment of individual disulfide bonds could be done in species containing closely spaced disulfide bonds. The strength of this methodology was demonstrated by complete mapping of all four disulfide bonds in lysozyme and all 17 disulfide bonds in human serum albumin, including nested disulfide bonds and motifs of adjacent cysteine residues.

Electron Transfer Dissociation of All Ions at All Times, MSETD, in a Quadrupole Time-of-Flight (Q-ToF) Mass Spectrometer

AbstractData-independent mass spectral acquisition is particularly powerful when combined with ultra-performance liquid chromatography (LC) that provides excellent separation of most components present in a given sample. Data-independent analysis (DIA) consists of alternating full MS scans and scans with fragmentation of all ions within a selected m/z range, providing precursor masses and structure information, respectively. Fragmentation spectra are acquired either by sequential isolation and fragmentation of sliding m/z ranges or fragmenting all ions entering the MS instrument with no ion isolation, termed broadband DIA. Previously, broadband DIA has only been possible using collision induced dissociation (CID). Here, we report the use of electron transfer dissociation (ETD) as the fragmentation technique in broadband DIA instead of traditional collision induced dissociation (CID) during MSE. In this approach, which we refer to as MSETD, we implement the inherent benefits provided by ETD, such as discrimination of leucine and isoleucine, in a DIA setup. The combination of DIA analysis and ETD fragmentation with supplemental CID energy provides a powerful platform to obtain information on all precursors and their sequence from a single experiment. Graphical Abstractᅟ

Generic Workflow for Mapping of Complex Disulfide Bonds Using In-Source Reduction and Extracted Ion Chromatograms from Data-Dependent Mass Spectrometry

Disulfide bond mapping is a critical task in protein characterization as protein stability, structure, and function is dependent on correct cysteine connectivities. Mass spectrometry (MS) is the method of choice for this, providing fast and accurate characterization of simple disulfide bonds. Disulfide mapping by liquid chromatography tandem mass spectrometry (LC-MS/MS) is performed by identifying disulfide-bonded partner peptides following proteolytic digestion. With the recently introduced ability to assign complex disulfide patterns by online postcolumn partial disulfide reduction by in-source reduction (ISR) in a LC-ISR-MS/MS methodology, the main challenge is data analysis to ensure detection of both expected and unexpected disulfide species. In this study, we introduced a workflow for confident and unbiased mapping of complex disulfide bonds using the powerful combination of extracted ion chromatograms (XICs) of LC-ISR-MS/MS data. With postcolumn partial reduction, identical LC retention times of intact disulfide-bonded species, their constituting free peptides, and partially reduced variants were observed. Subsequent selective MS/MS fragmentation of all reduction products allowed confident identification of free cysteine-containing peptides using a classical shotgun proteomics database search. Matching XICs of the identified cysteine-containing peptides allowed identification of both predicted and unpredicted disulfide species, including unforeseen proteolytic specificities, missed cleavage sites, scrambled disulfide variants, and the presence of disulfide-entangled complexes. Applying this workflow, we successfully mapped the complex disulfide bonds of tertiapin and the epidermal growth factor (EGF) family members transforming growth factor α (TGFα) and EGF. In addition, we were able to characterize the disulfide patterns of the special disulfide fold of the TGFβ superfamily in an all-online methodology.